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    Magnetic time-series from the BGS SWIGS differential magnetometer method (DMM) systems. Funded by NERC, grant number: NE/P017231/1 "Space Weather Impact on Ground-based Systems (SWIGS)". These data consist of measurements of the Earth’s natural magnetic field at the remote site (TOPR) and the natural magnetic field plus the field created by GIC at the underline site (TOPU). The database will include .xyz files with the DMM data and one document with metadata. See Hübert, J., Beggan, C. D., Richardson, G. S., Martyn, T., & Thomson, A. W. P. (2020). Differential magnetometer measurements of geomagnetically induced currents in a complex high voltage network. Space Weather, 18, e2019SW002421. doi: 10.1029/2019SW002421 for further details.

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    A brief description of ten core plug samples collected from borehole GGC01 (Glasgow, United Kingdom) is provided, as well as for twelve 15-50 g cuttings samples from 1m intervals within borehole GGA08. Samples were also collected from borehole GGA02 but not used for further analyses. Data comprise results from geomechanical tests, permeability and porosity measurements, and X-Ray Diffraction analyses performed on drillcore samples of sandstones, siltstones, mudstones and coals from eleven depth intervals within the GGC01 borehole. Geomechanical data include triaxial compressional strength, tensile strength, and frictional strength. Frictional strength data was also collected for cuttings samples of sandstones, siltstones, mudstones and coals from the GGA08 borehole. In total twenty-three tensile strength tests were performed on ten sampled intervals, and seven porosity measurements pre-and post-failure were taken. Nine triaxial compressive strength tests and twenty-one frictional strength tests were performed, with permeability measured both before and after failure or shear respectively. From compressive strength tests we also determined the Young’s modulus and Poisson’s ratio. Samples and data are derived from the UK Geoenergy Observatories Programme funded by the UKRI Natural Environment Research Council and delivered by the British Geological Survey.

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    This dataset contains extremal forecast of latitutude (lat), longitude (lon) and intensity of the geomagnetic dipole between 2019 and 2119. The geomagnetic dipole is evolved by a fluid flow at the core-mantle boundary that maximises the rate-of-change of the dipole latitude. The forecast is calculated from the year 2019 assuming that the geomagnetic field is described by the CHAOS-7 dataset. The optimisation procedure is described in https://doi.org/10.3390/geosciences11080318

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    A Multiphysics model for a molten carbonate fuel cell (MCFC) developed in COMSOL. This is a multiphysics model for a MCFC. It has been built using COMSOL Multiphysics®. It enables the user to investigate the composition of the fuel and flue gases as well as the design parameters (e.g. the thickness of the electrolyte) on the performance of the fuel cell and the efficiency of CO2 capture. For example, the impact of CO2 concentration in the flue gas on the fuel cell performance and the carbon capture factor (which is a measure on how much CO2 has been concentrated from the flue gas) could be evaluated. One of the key findings show that the fuel cell performance improves and the carbon capture factor decreases with increasing CO2 in the flue gas. A process model for liquid fuel production through reverse water gas shift (RWGS) and Fischer-Tropsch (FT) developed in Aspen Plus. The model enables the user to examine the production of liquid fuels through CO2 hydrogenation followed by FT synthesis. The user can test different conditions for the RWGS such as H2/CO2 ratio and temperature and investigate how these changes affect the CO2 conversion. The product distribution for the FT follows the Anderson–Schulz–Flory (ASF) distribution. The ASF model is applied in a FORTRAN calculator and assumes a chain growth probability factor (α) of 0.9; the user may change the value of α and investigate how this affects the product distribution. A CO2 compression model developed in Aspen Plus. The model liquefies the captured CO2 stream through multistage compression with intermediate cooling and water condensation/removal. UKCCSRC Flexible Funds 2020.

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    U-Pb isotope ratio data set for numerous phosphate (apatite) grains in two thin section samples of the LL5 S4-6 Chelyabinsk meteorite. One section is of the S4-6 light lithology, and another of the S5-6 dark lithology. Samples analysed were section ‘A' (light lithology) and section ‘B’ (dark lithology) of Chelyabinsk, both from the Open University School of Physical Sciences sample collection. The results demonstrate variability in degree of Pb-loss during collisional reheating from pristine versus damaged apatite crystal domains. These results are reported for a meteorite fall which originally happened near Chelyabinsk in Russia. The results otherwise have no geographic location, as this is a sample of an asteroid. All measurements were made in December 2020. These data were collected using Secondary Ionisation Mass Spectrometry (SIMS) with a CAMECA IMS 1280 at the Institute of Geology and Geophysics, Chinese Academy of Sciences (IGGCAS). The thin sections were polished with colloidal silica, cleaned, and coated with gold prior to analysis. Microtextural information was obtained prior to analysis using a combination of back-scatter-electron, cathodoluminescence, and electron-back-scatter-diffraction analysis. Data were obtained to test hypotheses relating to the competition between macro-to-meso-scale thermally-driven variation in Pb-loss rates versus microscale variation driven by grain-specific features, e.g., fracture networks. An article describing and discussing these results, including further methodological steps in their collection and processing, is due for publication. This information is currently available in preprint form on arXiv: https://arxiv.org/abs/2112.06038

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    The code base for IsoplotR’s graphical user interface (GUI) and its core data processing algorithms are surgically separated from each other. The command-line functionality is grouped in a lightweight package called IsoplotR, which has minimal dependencies and works on a basic R installation. It only uses commands that have been part of the R programming language for many decades and are unlikely to change in the future. In contrast, the GUI is written in html and Javascript and interacts with IsoplotR via an interface library. This interface is currently provided by the shiny package. shiny is free, open, and popular among R developers but has two important limitations: (1) it was created and is owned by a private company, which reduces the software’s future proofness; (2) shiny is a rather ‘bloated’ piece of code that does much more than is needed for IsoplotRgui. To avoid these issues, shinylight is a light-weight alternative to shiny that allows websites to call R functions in a similar fashion to the way in which node.js allows websites to use Javascript as a server language. Shinylight has been integrated in IsoplotRgui and all future software deliverables of the ‘Beyond Isoplot’ project, including the upcoming 'simplex' program for SIMS data processing.

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    Magnetic time-series from the BGS SWIGS differential magnetometer method (DMM) systems. Funded by NERC, grant number: NE/P017231/1 “Space Weather Impact on Ground-based Systems (SWIGS)”. These data consist of measurements of the Earth’s natural magnetic field and the field created by GIC at the underline site (BUDU). The database will include .xyz files with the DMM data and one document with metadata. See Hübert, J., Beggan, C. D., Richardson, G. S., Martyn, T., & Thomson, A. W. P. (2020). Differential magnetometer measurements of geomagnetically induced currents in a complex high voltage network. Space Weather, 18, e2019SW002421. doi: 10.1029/2019SW002421 for further details.

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    X-ray CT scan dataset of Darley Dale sandstone sample tts6. This sample was deformed in a true triaxial apparatus, and is fully described in the PhD thesis of Stuart (1992, UCL). The sample is a cube, measuring approximately 50 mm on a side. The sample experienced two sets of true triaxial deformation (test DDSS0009 and DDSS0010), with different applied stresses in the 1, 2 and 3 directions. This deformation produced distinct families of brittle microcracks, which were detected using acoustic emissions and seismic velocity analysis. This X-ray CT scan dataset was collected in 2019 at the University of Aberdeen by Dr Stewart Chalmers and Dr Dave Healy.

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    The data deposit includes results from 12 experiments that reacted carbon dioxide, seawater and limestone as a method of CO2 sequestration (as xlsx files). The data were obtained by Dr Huw Pullin, Cardiff University as part of a UKRI funded research project. Experiments were conducted under controlled temperatures (20degC), and CO2 pressures (5 and 50% v/v at 1 atm). The methods used are described in Xing et al., 2022 Chemical Engineering Journal. 431. 134096 DOI: 10.1016/j.cej.2021.134096

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    The dataset describes the results of high pressure experimental measurements of three contrasting 'tight' rocks; a Bowland Shale, a Haynesville shale and Pennant sandstone. The results are tabulated as a csv file, listing experimental parameters, confining pressure, argon gas pore pressure and permeability. complementary measurements of key petrophysical data are provided - bulk modulus of compressibility, porosity TOC and density.